Electromagnetic Compatibility in Wearable Devices: A Fuzzy Logic Approach

Wearable devices, integral to IoT Applications, require stringent performance and reliability constraints. Due to their heterogeneous nature and ideal placement strategies, they may be susceptible to unattended Electromagnetic Interference (EMI). EMI in wearables ideally addresses strategies considering the environment, materials, design, and regulatory compliance. However, most wearables may be used collectively and oriented along paths that may cause disruptions and imprecision in expected behaviours. Our article presents a fuzzy inference system (FIS) that models discrepancies like non-ideal placement positions and movement of devices. The model presents the impact of parameters like frequency, power level, proximity, and size on predicting variation in electromagnetic Interference.